Identification of factors affecting hoisting quality of large offshore structures and analysis of their coupling relationship based on grey-DEMATEL-ISM-MICMAC

被引:16
作者
Xing, Mengxia [1 ]
Luo, Xiaofang [1 ]
Zan, Yingfei [2 ]
Yang, Li [3 ]
Jin, Hui [1 ]
Luo, Jiaxuan [1 ]
机构
[1] Jiangsu Univ Sci & Technol, Sch Econ & Management, Zhenjiang 212003, Peoples R China
[2] Harbin Engn Univ, Coll Shipbldg Engn, Harbin 150001, Peoples R China
[3] China Ship Sci Res Ctr, Shanghai Branch, Shanghai 200011, Peoples R China
基金
黑龙江省自然科学基金;
关键词
Large offshore structures (LOS); Hoisting quality; Grey-DEMATEL; ISM; MICMAC;
D O I
10.1016/j.oceaneng.2023.114805
中图分类号
U6 [水路运输]; P75 [海洋工程];
学科分类号
0814 ; 081505 ; 0824 ; 082401 ;
摘要
The hoisting quality of large offshore structures (LOS) is impacted by numerous influencing factors, and their interaction relationships remain unclear. Therefore, research into the factors affecting hoisting quality has a profound impact on improving the service life and functionality of LOS. This paper summarizes 21 factors affecting hoisting quality based on existing literature. Subsequently, the Grey Decision-Making Test and Evaluation Laboratory (Grey-DEMATEL) is utilized to calculate the degree of influence and visualize the causality of these factors. An Interpretative Structural Model (ISM) is employed to establish a hierarchical structure to examine the coupling relationship among these factors. The Matrix Cross-Reference Multiplication Method (MICMAC) is adopted to clarify the role and status of the factors. The study reveals that there are five fundamental influence factors and four direct influence factors among the key factors affecting hoisting quality in LOS. This study can assist enterprises in proposing effective measures to promote the long-term development of hoisting quality management in LOS and lay a foundation for hoisting risk analysis. Furthermore, the study verifies that grey theory has greater flexibility in evaluating the fuzzy and uncertain problems in the expert decision-making process, resulting in more realistic outcomes.
引用
收藏
页数:15
相关论文
共 54 条
  • [41] Xu F., 2021, ENG TECHNOLOG RES, V6, P113, DOI [10.19537/j.cnki.2096-2789.2021.09.053, DOI 10.19537/J.CNKI.2096-2789.2021.09.053]
  • [42] Interactive Visual Reality of the Offshore Hoisting Operation and Numerical Modeling
    Xu, Xiujun
    Li, Zhen
    Wang, Liquan
    Yao, Shaoming
    Fang, Xiaoming
    [J]. INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE, 2018, 32 (08)
  • [43] Artificial intelligence healthcare service resources adoption by medical institutions based on TOE framework
    Yang, Jinxin
    Luo, Biao
    Zhao, Chen
    Zhang, Hongliang
    [J]. DIGITAL HEALTH, 2022, 8
  • [44] Yang Y., 2022, CHINA WATER TRANSPOR, V22, P42
  • [45] [张昊 ZHANG Hao], 2009, [海洋工程, The Ocean Engineering], V27, P130
  • [46] Analysis of the Interaction Mechanism of the Risk Factors of Gas Explosions in Chinese Underground Coal Mines
    Zhang, Jinjia
    Zeng, Yiping
    Reniers, Genserik
    Liu, Jie
    [J]. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2022, 19 (02)
  • [47] Zhang S.L., 2022, ENG CONSTRUCT, V54, P67, DOI [10.13402/j.gcjs.2022.11.145, DOI 10.13402/J.GCJS.2022.11.145]
  • [48] Impact analysis and classification of aircraft functional failures by using improved FHA based on gray correlation
    Zhang, Yuhang
    Huang, Yan
    Xu, Tingting
    Liu, Chang
    Tao, Liangyan
    [J]. GREY SYSTEMS-THEORY AND APPLICATION, 2021, 11 (02) : 213 - 221
  • [49] Inundation risk assessment based on G-DEMATEL-AHP and its application to Zhengzhou flooding disaster
    Zheng, Qian
    Shen, Shui-Long
    Zhou, Annan
    Lyu, Hai -Min
    [J]. SUSTAINABLE CITIES AND SOCIETY, 2022, 86
  • [50] [周德群 Zhou Dequn], 2008, [管理科学学报, Journal of Management Sciences in China], V11, P20